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dbcsp
View on CRAN: Click
here
Download and install dbcsp package within the R console
Install from CRAN:
install.packages("dbcsp")
Install from Github:
library("remotes")
install_github("cran/dbcsp") Install by package version:
library("remotes")
install_version("dbcsp", "0.0.2.2") Attach the package and use:
library("dbcsp")
Maintained by
Itsaso Rodríguez-Moreno
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-09
Latest Update: 2025-09-01
Description:
A way to apply Distance-Based Common Spatial Patterns
(DB-CSP) techniques in different fields, both classical Common Spatial
Patterns (CSP) as well as DB-CSP. The method is composed of two
phases: applying the DB-CSP algorithm and performing a classification.
The main idea behind the CSP is to use a linear transform to project
data into low-dimensional subspace with a projection matrix, in such a
way that each row consists of weights for signals. This transformation
maximizes the variance of two-class signal matrices.The dbcsp object
is created to compute the projection vectors. For exploratory and
descriptive purpose, plot and boxplot functions can be used. Functions
train, predict and selectQ are implemented for the classification
step.
How to cite:
Itsaso Rodríguez-Moreno (2021). dbcsp: Distance-Based Common Spatial Patterns. R package version 0.0.2.2, https://cran.r-project.org/web/packages/dbcsp. Accessed 16 Jul. 2026.
Previous versions and publish date:
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Complete documentation for dbcsp
Functions, R codes and Examples using
the dbcsp R package
Some associated functions: AR.data . boxplot.dbcsp . dbcsp-class . dbcsp-package . plot.dbcsp . predict.dbcsp . print.dbcsp . selectQ . summary.dbcsp . train.dbcsp .
Some associated R codes: CSP.R . auxiliar_functions.R . compB.R . data.R . dbcsp-package.R . dbcsp.R . Full dbcsp package functions and examples
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